Exploring Semantic Interoperability in e-Government Interoperability Frameworks for intra-African collaboration: A Systematic Literature Review

While many African countries have called for ICT based intra-African collaboration, services, and trade, it is not known whether this call is technically feasible. For such intra-African based collaboration, semantic interoperability would be required between the national e-government systems. This paper reviewed the e-government interoperability frameworks (e-GIFs) of English and Arabic speaking African countries to identify the evidence and conflict approaches to semantic interoperability. The results suggest that only seven African countries have e-GIFs, which have mainly been adopted from the UK\u27s e-Government Metadata Standards (eGMS) and on Dublin\u27s Core metadata (DC). However, many of the e-GIFs, with the exception of Nigeria, have not been contextualized to the local needs. The paper, therefore, concluded that more effort needs to be placed in developing e-GIFs in Africa, with particular emphasis on semantic interoperability, if the dream of intra-African collaboration is to be achieved

Resolution of Semantic Heterogeneity in Database Schema Integration Using Formal Ontologies

This paper addresses the problem of handling semantic heterogeneity during database schema integration. We focus on the semantics of terms used as identifiers in schema definitions. Our solution does not rely on the names of the schema elements or the structure of the schemas. Instead, we utilize formal ontologies consisting of intensional definitions of terms represented in a logical language. The approach is based on similarity relations between intensional definitions in different ontologies. We present the definitions of similarity relations based on intensional definitions in formal ontologies. The extensional consequences of intensional relations are addressed. The paper shows how similarity relations are discovered by a reasoning system using a higher-level ontology. These similarity relations are then used to derive an integrated schema in two steps. First, we show how to use similarity relations to generate the class hierarchy of the global schema. Second, we explain how to enhance the class definitions with attributes. This approach reduces the cost of generating or re-generating global schemas for tightly-coupled federated database

Towards a Reference Terminology for Ontology Research and Development in the Biomedical Domain

Ontology is a burgeoning field, involving researchers from the computer science, philosophy, data and software engineering, logic, linguistics, and terminology domains. Many ontology-related terms with precise meanings in one of these domains have different meanings in others. Our purpose here is to initiate a path towards disambiguation of such terms. We draw primarily on the literature of biomedical informatics, not least because the problems caused by unclear or ambiguous use of terms have been there most thoroughly addressed. We advance a proposal resting on a distinction of three levels too often run together in biomedical ontology research: 1. the level of reality; 2. the level of cognitive representations of this reality; 3. the level of textual and graphical artifacts. We propose a reference terminology for ontology research and development that is designed to serve as common hub into which the several competing disciplinary terminologies can be mapped. We then justify our terminological choices through a critical treatment of the ‘concept orientation’ in biomedical terminology research

Evidence/Discovery-Based Evolving Ontology (EDBEO)

This paper presents a proposal for the development of an ontology evolution strategy which refines ontological relations in scientific ontologies. In addition to experts’ consensus, it is desirable to define ontological relations between any two concepts in a scientific ontology based on scientific evidence. To address this issue, we can relate ontological relations to different research results obtained from various studies. To implement this solution, our envisaged evidence/discovery-based methodology integrates a higher-level ontology (systematic review ontology) into a systematic review agent which employs a Fuzzy Inference System in order to automatically modifyontological relations of a domain ontology based on the evidence received from information resources. The evidence/discovery-based methodology will further use the domain ontology to discover novel connections between distinct literatures, thereby, enrich its conceptualization

An Ontology Based Approach To The Integration Of Heterogeneous Information Systems Supporting Integrated Provincial Administration In Khon Kaen, Thailand

Information systems are a necessity to the administration of organizations. In a recent reform to the Thai administration, the governor of each province is entrusted with the full responsibility for the strategic planning and execution of the Integrated Provincial Administration (IPA). This presents a big challenge and many difficult problems for a potentially fast growing, both economically and demographically, province, such as Khon Kaen. To provide the administrator of the province with reliable and up to date information, the Provincial Operation Centre (POC) has been set up and assigned the task of collecting all required information from disparate information systems, many of which are legacy systems. This information lacks interoperability and integration of data due to many different structures and semantic heterogeneity encountered in many information systems. This research is a part of a collaborative data sources community development project. It attempts to aid high-level decision makers by using ontology to resolve heterogeneities among many disparate data sources. After relevant data sources are identified, they are analysed to reveal important and corresponding concepts, attributes and relations. They are then used in the creation of ontologies to resolve schematic and semantic conflicts in the data sources. The integration of many heterogeneous information systems will provide a unified view of information facilitating the provincial administrator in his decision making

Mitigating response distortion in IS ethics research

Distributed construction of conceptual models may lead to a set of problems when these models are to be compared or integrated. Different kinds of comparison conflicts are known (e.g. naming conflicts or structural conflicts), the resolution of which is subject of different approaches. However, the expost resolution of naming conflicts raises subsequent problems that origin from semantic diversities of namings – even if they are syntactically the same. Therefore, we propose an approach that allows for avoiding naming conflicts in conceptual models already during modelling. This way, the ex-post resolution of naming conflicts becomes obsolete. In order to realise this approach we combine domain thesauri as lexical conventions for the use of terms, and linguistic grammars as conventions for valid phrase structures. The approach is generic in order to make it reusable for any conceptual modelling language

Cooperative Approach for Composite Ontology Mapping

This paper proposes a cooperative approach for composite ontology mapping. We first present an extended classification of automated ontology matching and propose an automatic composite solution for the matching problem based on cooperation. In our proposal, agents apply individual mapping algorithms and cooperate in order to change their individual results. We assume that the approaches are complementary to each other and their combination produces better results than the individual ones. Next, we compare our model with three state of the art matching systems. The results are promising specially for what concerns precision and recall. Finally, we propose an argumentation formalism as an extension of our initial model. We compare our argumentation model with the matching systems, showing improvements on the results

Requirements modelling and formal analysis using graph operations

The increasing complexity of enterprise systems requires a more advanced analysis of the representation of services expected than is currently possible. Consequently, the specification stage, which could be facilitated by formal verification, becomes very important to the system life-cycle. This paper presents a formal modelling approach, which may be used in order to better represent the reality of the system and to verify the awaited or existing system’s properties, taking into account the environmental characteristics. For that, we firstly propose a formalization process based upon properties specification, and secondly we use Conceptual Graphs operations to develop reasoning mechanisms of verifying requirements statements. The graphic visualization of these reasoning enables us to correctly capture the system specifications by making it easier to determine if desired properties hold. It is applied to the field of Enterprise modelling

Logic-based assessment of the compatibility of UMLS ontology sources

Background: The UMLS Metathesaurus (UMLS-Meta) is currently the most comprehensive effort for integrating independently-developed medical thesauri and ontologies. UMLS-Meta is being used in many applications, including PubMed and ClinicalTrials.gov. The integration of new sources combines automatic techniques, expert assessment, and auditing protocols. The automatic techniques currently in use, however, are mostly based on lexical algorithms and often disregard the semantics of the sources being integrated. Results: In this paper, we argue that UMLS-Meta’s current design and auditing methodologies could be significantly enhanced by taking into account the logic-based semantics of the ontology sources. We provide empirical evidence suggesting that UMLS-Meta in its 2009AA version contains a significant number of errors; these errors become immediately apparent if the rich semantics of the ontology sources is taken into account, manifesting themselves as unintended logical consequences that follow from the ontology sources together with the information in UMLS-Meta. We then propose general principles and specific logic-based techniques to effectively detect and repair such errors. Conclusions: Our results suggest that the methodologies employed in the design of UMLS-Meta are not only very costly in terms of human effort, but also error-prone. The techniques presented here can be useful for both reducing human effort in the design and maintenance of UMLS-Meta and improving the quality of its contents

On the Limits of Liberalism in Participatory Environmental Governance: Conflict and Conservation in Ukraine\u27s Danube Delta

Participatory management techniques are widely promoted in environmental and protected area governance as a means of preventing and mitigating conflict. The World Bank project that created Ukraine’s Danube Biosphere Reserve included such ‘community participation’ components. The Reserve, however, has been involved in conflicts and scandals in which rumour, denunciation and prayer have played a prominent part. The cases described in this article demonstrate that the way conflict is escalated and mitigated differs according to foundational assumptions about what ‘the political’ is and what counts as ‘politics’. The contrasting forms of politics at work in the Danube Delta help to explain why a 2005 World Bank assessment report could only see failure in the Reserve’s implementation of participatory management, and why liberal participatory management approaches may founder when introduced in settings where relationships are based on non-liberal political ontologies. The author argues that environmental management needs to be rethought in ways that take ontological differences seriously rather than assuming the universality of liberal assumptions about the individual, the political and politics